Indigenous communal land titling, the microfinance industry, and agrarian change in Ratanakiri Province, Northeastern Cambodia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Indigenous Community Land Titles (ICLTs) in Cambodia promised to protect Indigenous land tenure and rotational swidden cultivation. However, the proliferation of microfinance institutions (MFIs) operating in Indigenous communities has threatened the process to establish ICLTs. Through a case study of an Indigenous Brao Tanap/Kreung community in Ratanakiri Province, I demonstrate how an ICLT process fell apart, primarily due to agrarian change, an increase in MFI loans, debt, and the desire for individual land certificates to collateralize MFI loans and sell land. This study is relevant for thinking about communal land titling's relationship with investment frontiers, uneven property formalization, and microfinance.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it